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Mixed Integer Programming Model for Facility Location Problems: Case Study for Consolidation Centers

机译：用于设施位置问题的混合整数编程模型：合并中心的案例研究

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摘要

Nowadays, enterprises create and develope several strategies for reaching maximum logistic quality level desired. One of this strategies is consolidation cargo. According to cetinkaya (2003), there are two approaches: pure policies and integral policies. Pure consolidation politics satisfies customer needs without considering implications from other organization areas. Integral consolidation politics coordinate company's decisions between all areas involved (procurement, production, sales, distribution, etc.) Boyaci and Gallego (Int J Prod Econ 77:95-111,2002). This study presented a Facility Location Problem for a study case of a Mexican factory that imports raw material from European vendors in LCL (Less than a Container Load) shipments scheme. The premise states that a LCL is more expensive than a FCL (Full Container Load). Also, total lead time is higher. For minimizing the total transportation costs it is suggested to implement consolidation centers to gather the load from all suppliers into FCL shipments for the factory. Transit time port-to-port and cost for maintaining inventory play an important role in the decision. The problem is formulated as a mixed integer programming (MIP) model and the proposed scenarios for solving this study case are analyzed in order to propose final recommendations.
机译：如今，企业创造和发展有几种策略，以达到所需的最大物流质量水平。其中一个策略是合并货物。根据Cetinkaya（2003），有两种方法：纯政策和整体政策。纯合并政治满足客户需求，而不考虑其他组织领域的影响。整体整合政治协调公司在涉及的所有领域（采购，生产，销售，分销等）Boyaci和Gallego（Int J Prod Econ 77：95-111,2002）之间的决定。本研究向墨西哥工厂的研究案例提出了一个设施定位问题，该工厂将原材料从LCL（少于集装箱载荷）的出货量计划。前提是LCL比FCL更昂贵（完全容器负载）。此外，总线时间更高。尽量减少总运输成本，建议实施整合中心，以将所有供应商的负荷收集到工厂的FCL货物中。过境时间港口到端口和维护库存的成本在决定中发挥着重要作用。该问题被制定为混合整数编程（MIP）模型，并分析了用于解决本研究案例的建议方案，以提出最终建议。

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